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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 15110
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    Explanations

    words related to showering or bathroom activities

    oai_token-act-pair · gpt-3.5-turbo

    references to showers and shower-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rian
    -0.79
    sup
    -0.68
    sem
    -0.64
    ravel
    -0.62
    folios
    -0.62
    */(
    -0.62
     Dominion
    -0.62
    REDACTED
    -0.62
    cius
    -0.61
    epad
    -0.61
    POSITIVE LOGITS
    ysis
    0.96
     curtain
    0.95
    issance
    0.92
    tub
    0.88
    robe
    0.87
    itual
    0.83
     showers
    0.83
    atur
    0.83
     curtains
    0.82
    ples
    0.81
    Activations Density 0.026%

    No Known Activations